Making representative democracy more representative. Can new forms of citizen governance in the UK open up democracy? Peter John, Institute for Political and Economic Governance (IPEG) School of Social Sciences University of Manchester Manchester M13 9PL, UK e-mail: [email protected] website: http://www.ipeg.org.uk/staff/john/index.php For Workshop ‘Social Capital, the State and Diversity’, ECPR Joint Sessions 2007, Helsinki, Finland, 7 - 12 May 1 Abstract Surveys consistently show the strong link between social and economic status (SES) and political participation, with people of higher income and education levels being more likely to be politically involved. There is an assumption that the representation bias in participation is an enduring feature of modern societies and remains largely constant over time. However, new initiatives to involve the citizen directly in government decision-making - citizen governance - may be based on different kinds of representation because they draw from service users and where hard to reach groups are sought out. To test the idea that citizen governance may be more representative than conventional forms of participation, this paper uses data from the English and Welsh Citizenship Survey 2005. Using descriptive statistics and regression analysis, it findS some evidence that citizen governance in more representative than civic activities and other patterns of group membership. 2 Many decades of survey-based studies conclude that the key measures of political participation – voting, more active forms of involvement, citizen contacting and group membership – are skewed toward those with higher income, higher employment status and more years of education, factors that cluster together (Milbraith, Verba et al 1972, Barnes and Kaase 1979, Jennings and van Deth 1989, Verba et al 1993, Verba et al 1995). Even with the recent advances in understanding of political participation, incorporating the role of context, skills and psychological factors, socio-economic status (SES) remains as important as a prior factor. In the most comprehensive analysis of participation, Verba et al (1995) find that SES determines the skills that in turn affect participation. In most studies, years of education and being in employment usually appear as part of a standard battery of statistical controls in multivariate models (e.g. Pattie et al 2005: 152-185). The dominance of SES runs across comparative studies (Verba et al 1978) and in surveys of political participation in countries, such as the UK, where similar results are found (Parry et al 1992: 63-84). The main exception is citizen initiated contacts with public officials (Verba and Nie 1972); but subsequent research upholds the relationship between SES and participation (Sharp 1982, Serra 1995: 182). Political scientists worry about the bias in political participation because theories of democracy depend on political equality (e.g. Dahl 1953): democracy is more than the formal right to participate but involves substantive political representation. A common reaction to the disjuncture between theory and practice has usually been to accept that inequalities derive from deep rooted social structures, which are hard to change, but to observe that democracies work reasonably well even with these limitations; that voting is 3 the most powerful form of voice and the one in which most of the citizens participate; that there is not a significant difference between participators and non-participators (Wolfinger and Rosenstone 1980, Bennet and Resnick 1989, Highton and Wolfinger 2001); and that the recent generation of studies show that SES is not a strong predictor of participation with much of the explanation done by self-interested and psychological factors, which are only partially correlated to SES. But, as Verba et al’s (1991) qualifications to these arguments suggest, the sense of unease continues: there is a possible link between the inequality in representation and the outputs and outcomes of a democracy, and that equality in political representation is also symbolically important for a legitimate political system. Such preoccupations prompted Lijphart (1997, 2001) to advocate compulsory voting. It might be thought that the rise of new political movements and initiatives to get a more direct contact between the citizen and the state - in the form the institutions of direct democracy - would open up democratic choice, partly because they involve new groups. But these two have unequal access: as Dalton et al summarise, when compared to voting, ‘A much larger inequality gap emerges for modes of participation that come closer to direct or advocate forms of democracy’ (2003: 262). But it may be the case that other kinds of new democratic mechanism may have a more representative base. The argument of this paper is that the democratic practices that are shaped by public agencies, organizing citizens and inviting them to participate in service-related forums, may have this quality. This occurs first because the state in western democracies typically administers a complex array of services, many of which involve frequent contact with the 4 citizens even without their direct involvement in decision-making. In the more traditional top down model of the state-citizen relationship, citizens vote for people to sit in office to administer bureaucracies; once those policies are in place they accept the decisions of the professionals to administer them in their best interests (Thompson 1983). Decades of challenges to the traditional bureaucratic means for delivering services, which entail the autonomy of professionals, have now led to a reassessment of the citizen-state relationship, which involves a more active role for the citizen in choosing services and voicing demands, and a more responsive bureaucracy that is interested in listening to the demands of these groups (Whitaker 1980). More voice necessitates initiatives that include the citizens and allow them to represent their interests, not just individually, but collectively through forums that relate to particular services and gather together the users and other affected interests in forums or involve the citizen in directly providing and shaping the delivery of those services. They occur in regeneration, crime and education particularly, and usually involve meetings and consultations. While these citizen initiatives have been cross-national, the UK has pushed them much further than elsewhere with a commitment to civil renewal and a new type of citizen governance as a core feature of its recent policies (Brannan et al 2006). This paper addresses the idea that these initiatives may involve a different kind of citizen in its deliberations, one that is more representative of the general population than commonly occurs in other forms of engagement, such as group participation. The theory is that there may be aspects of this engagement that encourage a wider range of groups to participate. The first is that the group that is recruited from service users or those closely 5 affected by the service has a different representative basis than in a wider sample base. Users may be council house tenants or those affected by crime in deprived areas. This sampling bias may help correct, though not totally rebalance, the natural bias in representation. Secondly, being asked is one of the key factors that influence the decision to participate, such as being mobilized or canvassed (Rosenstone and Hansen 2003, Gerber and Green 2005). These groups often rely on professionals asking people to participate, which when combined with the first factor, may produce a more representative sample of participants. This contrasts with the self-starting characteristics of traditional involvement, which rely on voluntary action from participants supported by networks of family and friends; though of course who is asked is linked to socioeconomic status (Rosenstone and Hansen 2003). Of course, there may be some similarities as these state-sponsored forms of participation may have networks and have activists at their core; but we expect the balance to be different and for SES to be a weaker determinant than other forms of participation. Third, linked to the second factor, is that these initiatives have as their aim to include excluded groups and to go beyond the range of the usual suspects. Given this it would be surprising if the representatives on these groups would not in some way be more representative than standard forms of representation. Of course, it is not a fore-ordained conclusion that citizen governance does have this different character because the resource imbalance will mean still lead to biases in participation. Empirical evidence is needed to investigate whether this is the case. 6 Data and Methods Surveys about civic behaviour do not ask directly about participation in these decisionmaking forums, mainly because they were not until recently a major component of participation and from the tendency for survey instruments to replicate some well known question wordings, with these civil renewal activities being caught up in other types of political participation. As Baumgartner and Walker (1988: 913-914) comment, the same family of questions with respect to group membership has been in operation with some modifications since the 1920s, and influenced the seminal 1967 Verba and Nie (1972) survey, which continued beyond that time, such ‘service’ or school service, which also has been the same question in the General Social Survey between 1971-1984. Baumgartner and Walker refine the categories which include more citizen governance activities through reference to community or neighbourhood organizations. In the American Citizen Participation Study, 1990 (Verba et al 1995), the number of organizations increases including neighbourhood/homeowners/condominion association or block club, which may include some of the housing elements of citizen governance when in the public sector as do ‘heath service organizations/organization for services to needy’, and educational institutions, school service organisations’. UK data is similarly presented, with the Citizen’s Audit providing residents, housing and neighbourhood organisations, and the PTA (Pattie et al 2004: 98). Here there are small numbers involved with these similarly labeled activities, with one per cent members of the PTA (3.7 per cent participating), 5 per cent members of a residents association and 6.7 per cent 7 participating. However, this does not capture the full range of activities. In addition, the main questions about acts of participation, such as signing a petition or taking part in a demonstration or rally, have as part of their assumption the voluntaristic and active basis of much participation, so do not cover citizen governance activities that depend on a more gradual interaction between decision-makers. Of course, all participation is mobilized and networked to a degree; but the implication of the question wording is that self-motivation plays a strong role with much of it. The Citizenship Survey is a biannual random probability face-to-face survey taking place in England and Wales, using computer assisted personal interviewing (CAPI), which occurred in 2001, 2003 and 2005. It has a core achieved sample of about 10,000 respondents. In 2005, it was sampled from the post code address file, with a two stage sampling procedure to select the addresses. At the first stage a random sample of census area statistics (CAS) wards was selected, then wards in a second stage. All tables and regression results are adjusted by the application of a weight based on the difference between respondents and non-respondents (see Michaelson et al 2005 for further details of the sampling and weighting scheme). In the 2005, for the first time, the Citizenship survey asked questions on citizen governance: ‘in the last twelve months … have you done any of the things listed’, with a card referring to seven actions: ‘member of a group making decisions on local health services’; ‘member of a decision-making group set up to regenerate the local area’; ‘member of a decision-making group set up to tackle local crime problems’; ‘member of 8 a tenants group decision-making committee’; ‘member of a group making decisions on local education services’; ‘member of a group making decisions on local services for young people’; and ‘member of another group making decisions on services in the local community’. There is some cross over with the standard option for the group membership questions for neighbourhood and community groups, which are also asked in the Citizenship Survey but this option is specifically targeted at decision-making for public services, so researchers can be sure it applies only for citizen governance activities. Table 1 presents descriptive statistics for the responses to this question. 9 Table 1: Frequencies for core citizen governance activities Member of a group making decisions on local health services Member of a decision making group to regenerate the local area Member of a decision making group to tackle local crime problems Member of a tenants group decision making committee Member of a group making decisions on local education services Member of a group making decisions on local services for young people Member of another group making decisions on services in the local area No activities Per cent 0.8 N 9691 1.8 9691 1.6 9691 1.7 9691 1.3 9691 2.8 9691 2.8 9691 91.5 9691 When taking each service in turn, there are not many people doing these activities for each service at about one to two per cent of the sample. But if we examine the figure for no activities, it comes to about 8.3 per cent of the sample. Adding together the activities, it comes to 5.9 doing one, with 1.4 per cent doing two, and much smaller numbers for the 10 others. The mean level for the whole population is .13, 1.48 among those who do this kind of decision-making. These questions cut to the core of what is citizen governance, but there are other activities that are closely linked but which are not quite the same thing. One is the direct participation in service delivery in ways that have a decision-making content – what may be called the co-production of services. Here the survey asked respondents about activities that did not relate to their job with the options of school governor, a volunteer special constable and magistrate. The question also included the question about a local councillor, which we exclude from the citizen governance categorization, where the descriptive statistics appear in table 2, but where the no activities also include not being a councillor. Table 2: Frequencies for the co-production of public services A school governor A volunteer Special Constable A Magistrate No activities Per cent 1.2 0.1 N 9691 9691 0.2 98.0 9691 9691 Here we find much with same proportions for school governors at one per cent, but very few volunteer constables and magistrates. When added together, these activities form 1.4 per cent of the sample with no overlaps. 11 Taking both decision-making and co-production together, these activities are not rare occurrences in the population. If you add together all the activities and do not double count, we get 9 per cent, with 13.6 per cent doing it at least once a week, 32.7 at least once a month with 50.9 per cent less often. When asked how many times during the last year, the respondents showed an average of 3.5 times per year, with a wide standard deviation of 3.7. Finally, a less active form of citizen governance is consultation about public services in the form of answering questionnaires and surveys. Here there are a surprising number of people who claim to have been involved. The question asked respondents ‘In the last twelve months have you taken part in a consultation about local services or problems in your local area in any of the ways listed’: 13.7 per cent completed a questionnaire, six per cent attended a public meeting and 4.6 per cent involved with a group set up to discuss local services and problems in the local area. If all the forms of citizens governance are taken together – direct involvement, co-production and consultation makes for a 23.9 per cent of the population who have been part of these citizen governance activities, nearly a quarter of the adult population. Because of the diverse nature of the activities and the tendency for citizens just to do one thing, we need to create a composite score. First, we should deal with the issue of double counting, which does not affect the 23.8 per cent because we used those who did not score any activity as the method of calculation. It also is not a large problem because 16.5 per cent carried out one activity. There are some activities where there is the 12 possibility of double counting. Here some of the consultation and citizen governance activities are rather similar, such as between attending public meeting and being involved with a group with the questions on involvement with groups on various service areas. And it does appear that some of the respondents do indicate both of these activities: 26 per cent of those who said they were a member of a group to discuss local health services also said they attended a meeting to discuss local services and problems; 12.9 per cent of those who attended a group to discuss local regeneration, with similar proportions for the other specialized activities. There were similar cross memberships for the question about being involved with a local group. The third issue is the extent to which co-production is the same as group membership to discuss service issues. Here a principal components analysis can find out if there is a scale. Table 3 shows the extraction, which show high figures for each factor. The procedure produces four factors with eigenvalues in excess of one, which load in varying degree on the factors, with factors one and two loading on the decision-making variables and factor three on the co-governance variables. Over all the case for separating these activities off is not persuasive, especially as being a school governor loads on factor one. 13 Table 3: Communalities and component matrix from a principal components analysis of citizen governance activities A school governor A volunteer Special Constable A Magistrate Member of a group making decisions on local health services Member of a decision making group to regenerate the local area Member of a decision making group to tackle local crime problems Member of a tenants group decision making committee Member of a group making decisions on local education services Member of a group making decisions on local services for young people Member of another group making decisions on services in the local area Extracti on .702 .717 1 2 3 4 .447 .016 -.664 .147 .249 .759 -.018 -.345 .790 .261 .064 .252 -.066 .007 .273 -.222 .841 -.385 .492 .639 .246 -.123 .087 .425 .490 .407 .137 -.001 .441 .367 .427 .352 -.010 .693 .580 -.577 .110 -.107 .413 .595 .012 -.243 .014 .451 .606 .183 -.202 .097 The core of the argument depends on finding out who the people who participate in citizen governance, especially when compared to those who carry out other acts of political participation other than voting as we wished to examine broadly comparable forms of involvement. For the civic activities, we use the questions about direct 14 participation, which have a different character to citizen governance. These are questions about whether the respondents ‘Attended a public meeting or rally’, ‘Taken part in public demonstration’, and ‘Signed a petition’, activities that load highly on a factor and have an alpha of .34. The other kind of comparison is with group membership when it has a political dimension, many of which have a political dimension, though it is hard to know how much this involves. For the purposes of comparison, we add together all forms of group membership except education activities, where there is a crossover with citizen governance, and local community or neighbourhood groups as discussed earlier. This set of variables yields an alpha of .43. Factor analysis yields a respectable fit, with only sport not loading highly onto the first factor. An initial question is whether these two groups of civic participation and citizen governance are similar to each other. Here we find that 4.6 of the total do both, 22.2 per cent do just civic activities, and 4.1 per cent of the sample do just citizen governance, which is a reasonable number of people to bring into the political arena. Citizen governance is reaching a new group of people, not just the usual suspects. The second and main question is the extent to which these activities are predicted by the standard SES indicators and other measures of difference in the population. Table 4 presents Kendal tau-b correlations for the key variables for civic participation, group membership and citizen governance, dichotomised so as to facilitate comparisons. later to the substantive interpretation of these coefficients. 15 We will come Table 4: kendall tau-b correlations of civic participation, group membership and citizen governance Income In employment Age Civic Participa tion .108** .090** -.038** White No Qualifications N 8952 9833 9833 Group Member ship .032** .068** -.029** 6143 6615 6615 Citizen governa nce .077** .031** .010 .060** -.102** 9833 9833 Qualifications below higher education -.061** Higher education N 8953 9847 9833 .025** -.066** 6615 6615 .002 -.061** 9846 9847 9428 -.020 6389 -.061** 9433 .174** 9428 .070** 6389 .121** 9433 Owner .020** 9822 -.040** 6606 .037** 9836 Gender -.037** 9833 .058** 6615 -.008 9847 **=correlation significant at the .01 level, two tailed In pure SES terms – education and income – there is a contrast between civic and citizen governance, with the latter having more of a claim to be representative of the general population. This is also the case with group participation in spite of the diverse activities recorded. Citizen governance is more representative than group membership with respect to income, employment, ethnic background, people with out qualitifications and gender. Civic participation is less representative than the other two types in all categories 16 considered here except for home ownership. Group membership is more representative than civic behaviour and citizen governance with respect to education. A further way to examine the impact of SES is to construct a regression model with the same covariates for the different sorts of participation. SES variables in any case appear in most regression models, so this kind of analysis is not controversial. We include the following variables: gender on the basis that there are differences in participation, especially in group membership and that link to differences in resources. Age on the basis that higher age leads to greater participation on the basis of resources and a growing sense of a stake in the community. Individual income on the basis that this is one of the core SES links to participation. Then the three measures of qualifications: having no qualifications, some qualifications at less than degree level, and degree level qualifications, whether in work or not, whether white or not, whether actively practicing a religion, the degree of attachment to the neighbourhood, which measure a sense of investment in local decision-making, measured by a question asking ‘I would like to talk you how strongly do you belong to your immediate neighbourhood’, with responses 1=very strongly, 2=strongly, 3=not very strongly, 4=not at all strongly. As with many studies of participation, we include efficacy, measured by the question, ‘do you agree or disagree that you can you can influence decisions affecting your local area?’, with responses as 1=’definitely agree’, 2=‘tend to agree’,3=’tend to disagree’ and 4=’definitely disagree’. Finally, following Putnam (2000) we include the number of hours the respondents report watching television during weekdays on the expectation that this will reduce participation and group activity. 17 Table 5 presents the results from a probit of the three dependent variables. The coefficients are similar to an odds ratio, which again allows for comparison across the tables. The table controls for the clustering of the error terms in local authority areas. 18 Table 6: Probit on civic participation, group membership and citizen governance standard errors in parentheses Civic Group Citizen Participation Membership governance Income .015** (.004) -.003 (.008) .014** (.005) In employment -.038 (.043) .194* (.076) -.112 (.060) Age -.001 (.001) .0003 (.002) -.0009 (.001) White .369** (.068) -.013 (.119) .103 (.095) No Qualifications -.091 (.059) -.171 (.094) .091 (.075) Qualifications below higher .209** (.049) .097 (.084) .105 (.061) Higher education .352** (.043) .193* (.077) .336** (.051) Owner .003 (.061) -.243* (.111) .091 (.076) Gender -.118** (.035) .241** (.058) .007 (.043) Practice religion .136** (.036) .438** (.075) .250** (.049) Neighbourhood attachment -.066** (.021) .023 (.035) -.135** (.028) Local Efficacy -.111** (.022) -.063 (.036) -.224** (.027) Television watching -.023** (.007) -.019 (.012) -.015** (.007) Log-pseudolikelihood -4612.5 -1194.4 -2370.0 Pseudo-R .05 .05 .07 N 8058 5587 8059 19 The results broadly replicate the correlations, but with some terms rendered insignificant because of the controls. In terms of the key terms, income is similar across civic participation and citizen governance, with group membership having less bias. In employment, on the other hand, it only group membership that has an impact. Race and having no qualifications are only factors for civic participation. Higher education is most important for civic participation. Citizen governance is gender neutral it seems. Although the signs and strengths of coefficients points toward the superiority of citizen governance, especially over civic participation the varying results, it is hard to come to conclusion about the relative importance of SES from this data because of the number of variables. One solution is to create a summary variable. We save a variable from an underlying factor from household income, the three measures of qualifications (with no qualifications reversed as a variable) and ethnic background, a scale that has an alpha of .29. When plugged back into the regression as a replacement for these variables and with the remaining independent variables generates a coefficient of .167 and a standard error of .017 for civic participation, .075 for group membership (.034, standard error) and .139 for citizen governance (.022). Here we find the general pattern replicates with citizen governance beating civic participation, but with the more general group membership as the more representative. It is more useful to see what the impact of the predicted values are visually so we can compare plots of the impact of SES on these results. We show these results in figures 1-3 20 for respectively civic participation, group membership and citizen governance. The gp curve is the simulated predicted value, using the Clarify programme, with 95 per cent confidence bands on each side. Here we find that citizen governance has a lower slope, reaching across a wider range of SES cases. Figure 1 The impact of SES on civic participation 0.9 0.8 0.7 0.5 gp lb ub 0.4 0.3 0.2 0.1 21 9520 9240 8960 8680 8400 8120 7840 7560 7280 7000 6720 6440 6160 5880 5600 5320 5040 4760 4480 4200 3920 3640 3360 3080 2800 2520 2240 1960 1680 1400 840 1120 560 280 0 counter Predicted values 0.6 22 9588 9306 9024 8742 8460 8178 7896 7614 7332 7050 6768 6486 6204 5922 5640 5358 5076 4794 4512 4230 3948 3666 3384 3102 2820 2538 2256 1974 1692 1410 1128 846 564 282 counter Preducted value Figure 2 Impact of SES on Group Membership 0.12 0.1 0.08 0.06 gp lb ub 0.04 0.02 0 Figure 3 Impact of SES on Citizen Governance 1 0.9 0.8 Predicted Vales 0.7 0.6 gp lb ub 0.5 0.4 0.3 0.2 0.1 9520 9240 8960 8680 8400 8120 7840 7560 7280 7000 6720 6440 6160 5880 5600 5320 5040 4760 4480 4200 3920 3640 3360 3080 2800 2520 2240 1960 1680 1400 840 1120 560 280 counter 0 The limited direct questions on this new activity mean that it is hard to find out exactly what motivates people to do it and whether there are particular reasons for a more representative make up. But there are indirect ways of tapping into the bases for this support. One is the idea that these people are service users, which tend to be more representative of the population. Table 6 presents correlations with the groups, but this is not the case as civic participation beats citizen governance all times, though citizen governance beats group membership. 23 Table 7: kendall tab-b correlations of civic participation, group membership and citizen governance with service contact Civic Participation Group membership Citizen governance Local doctors surgery Local hospital .044(**) -.008 .013 .055(**) -.016 .037(**) Local school .110(**) -.012 .098(**) .002 -.039(**) .044(**) .156(**) .038(**) .151(**) .046(**) .044(**) .006 .068(**) .019 .035(**) The Crown Prosecution Service The Home Office .042(**) .002 .031(**) .053(**) .012 .042(**) The Police .151(**) .032(**) .094(**) .024(*) .006 .034(**) .024(*) .013 .041(**) .037(**) .019 .070(**) 9827 6613 9830 Council housing department/ HA A local council apart from housing department A private landlord or letting agent The courts The immigration authorities The Prison Service The Probation Service N ** Correlation is significant at the 0.01 level (2-tailed). * Correlation is significant at the 0.05 level (2-tailed). 24 If a direct interest is not one that is the prime driver of citizen governance, then what is motivating people to do this kind of civic activity? Here we have in mind that classic acts of political participation have mixed forms of motivation that come from direct interest in key events that happen to people to the more public interest groups. Here we have a direct question to the people who carry out the citizen governance activities: ‘Which if any of these benefits do you get from this /these activity / activities’, with six choices and an other’. Table 7 reports these activities. Here shows that people who get involve above all want to be connected and to make a difference in their communities; much less cited the direct benefits from this form of participation. This shows that government are able to tap into elements of good will and public spiritedness, which can sustain citizen governance, and which underlies that it is a different kind of participation with a different kind of appeal than other kinds of participation, perhaps less tainted in the public eye. 25 Table 8: benefits from citizen governance activities A sense of involvement in the community Getting to know people in the community Being able to make a difference in the community 68.5 N 881 57.5 881 67.6 881 Enjoyment of or interest in the activity 53.4 881 Learning new skills or helping to develop my career 20.9 881 Building self-esteem or confidence 25.9 881 Other benefits 4.1 881 No benefits 3.1 881 Conclusions If there is one message from the long research on political participation, it is that the social bases to participation are well entrenched, and that patterns of involvement should remain fairly constant over time and across the different types of people in a society. The introduction of new kinds of citizen representation from the general population in England and Wales is intended to shift the balance of participation so it is not just reliant 26 on conventional voluntaristic forms of engagement but could encompass a greater representativeness of the population through the direct connection to service issues and attention to populations normally excluded from direct involvement. On the other, hand it would be wrong to expect these new mechanisms to be radically different in make up from other sort, more a question of degree. The social structures that give rise to different skills are likely to replicated in new forms of participation. The opportunity is the marginal differences that different avenues of recruitment and tapping community based forms of motivation can give. The results from the Citizenship Survey are consistent with this incremental line of reasoning. In terms of descriptive statistics, we find differences in representation across the main categories between civic participation and citizen governance. These results are replicated in the regression analysis, with higher coefficients for civic participation than the citizen governance. But substantively, the results do not amount to a massive difference, with also group participation scoring much higher levels of representativeness. The detailed results also show variations, with the main difference being in education rather than income. On the other hand, ethnicity is an important area of difference. 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Cambridge: Cambridge University Press 30 Appendix 1: civic participation, group membership and citizen governance by key demographic characteristics Income < 5,000 Income 5,000-9,999 Income 10,000-14,999 Income 14,000-19,999 Income 20,000-29,999 Income 30,000-49,999 Income 50,000-74,999 Income > 75,000 In employment Age (mean) Civic Participa tion 20.2 16.5 14.5 12.0 18.7 12.8 3.0 2.4 67.0 44.9 Group Member ship 21.2 17.1 14.7 12.5 16.8 13.1 2.7 1.9 65.6 44.8 Citizen governa nce 20.3 16.5 12.3 11.8 18.7 14.0 3.1 3.2 64.9 46.8 23.4 19.4 15.1 11.8 15.4 10.8 2.4 1.7 60.2 46.4 White No Qualifications 92.7 10.2 90.2 11.5 89.8 9.4 89.7 16.5 Qualifications below higher education 48.0 52.0 44.1 53.8 Higher education 41.5 35.3 46.3 29.0 Owner 83.1 80.3 86.4 81.6 Gender (male) 45.4 48.5 47.0 48.4 31 Total Appendix 2: OLS on number of acts civic participation, group membership and citizen governance - standardized betas, t-values in parentheses Civic Group Citizen Participation Membership governance Income .047 (2.96) .012 (0.7) .024 (1.52) In employment -.025 (.006) .012 (.98) -.014 (-1.01) Age .014 (.78) .022 (1.09) .024 (1.46) White .077 (5.89) .060 (3.79) .021 (.61) No Qualifications .006 (.43) .032 (-1.97) .017 (1.26) Qualifications below higher .099 (5.5) .067 (3.4) .051 (2.65) Higher education .146 (9.15) .162 (9.32) .091 (5.82) Owner -.001 (-.13) -.001 (-.08) .010 (.77) Gender -.035 (2.87) -.011 (.077) .005 (.46) Practice religion . 043 (3.32) .178 (11.35) .051 (3.76) Neighbourhood attachment -.045 (-3.57) -.050 (-3.57) -.058 (5.69) Local Efficacy -.079 (5.96) -.106 (7.08) -.124 (8.62) Television watching -.045 (3.84) -.047 ( -.024 (2.82) R .06 .10 .05 N 8058 5587 8059 32 33
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